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Breaking News: MIT researchers, in collaboration with IBM and other institutions, have explored techniques such as deductive closure training, where AI models screen their own outputs for inaccuracies and contradictions, acting as both student and teacher. This approach helps models improve consistency and accuracy over time, even without human intervention for every update.

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What Are Generative AI Hallucinations and Why Do They Happen? Generative AI hallucinations refer to instances where AI models like ChatGPT or other large language models produce outputs that sound plausible but are factually incorrect or entirely f
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๐ Just wrapped up another portfolio project: AI Strategy Assistant, part of my ongoing journey in building agentic, RAG-powered AI systems! ๐ง What it is: A personal Streamlit-based app that simulates multi-perspective feedback (like CTO, founder,
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ANT Group Uses Domestic Chips to train AI models and cut COSTS Ant Group is relying on Chinese-made semiconductors to train artificial intelligence models to reduce costs and lessen dependence on restricted US technology, according to people familia
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The Most Expensive โThank Youโ in Tech History ๐ฅ Turns out, saying โthank youโ to ChatGPT costs millions. Literally. Sam Altman just revealed that OpenAI spends tens of millions of dollars processing tiny, polite phrases like โthank youโ and โpl
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Most people miss these steps while learning AI. Iโve explained the complete AI learning path in detail. 1. Learn what AI, ML, and Deep Learning actually mean. 2. Observe how AI works in apps like Netflix, Google, and ChatGPT. 3. Get comfortable wit
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